Eye on AI

→ WHAT IT COVERS Dr. Kate Adamala, synthetic cell engineer at the University of Minnesota, explains how her lab built "spud cells" — synthetic lipid vesicles containing purified biological molecules capable of genetically encoded feeding and division, representing a platform to make biology a general-purpose manufacturing technology for medicine and climate solutions.

→ WHAT IT COVERS Virtana CEO Paul Appleby presents findings from the AI Factory Reality Check study, revealing that 6 in 10 enterprises cannot automatically identify root causes when AI workloads fail, while governance investment lags behind infrastructure spending across banking, healthcare, airlines, and retail sectors deploying on-premises AI data centers.

→ WHAT IT COVERS Bradon Rogers, Chief Customer Officer at Island, explains how the company's enterprise browser addresses AI security risks by wrapping policy controls around consumer AI tools, agentic workflows, and MCP calls — enabling organizations to empower users with AI while maintaining data protection, regulatory compliance, and audit trails across all devices.

→ WHAT IT COVERS Kriti Sharma, CEO of IFS's Nexus Black unit, explains how her team deploys production-grade industrial AI across manufacturing, utilities, and aerospace by embedding engineers on-site at refineries, hangars, and factories to solve high-stakes operational problems within three weeks of engagement. → KEY INSIGHTS - **On-site deployment model:** Nexus Black achieves measurable client value within three weeks by physically embedding engineers at industrial sites — refineries,...

→ WHAT IT COVERS Devvret Rishi, CEO of PredaBase (acquired by Rubrik), explains why AI agents represent the next major enterprise security threat vector, how Rubrik's Agent Cloud platform governs agents across multi-vendor environments, and why organizations are stuck between blocking AI entirely or deploying it without adequate risk controls. → KEY INSIGHTS - **Agent Definition & Risk Scope:** Enterprises should treat any model with access to tools, APIs, or databases as an agent requiring...

→ WHAT IT COVERS Vin Singh, founder and CEO of BulFrog AI (Nasdaq: BFRG), explains how his three-platform AI system — BF Prep, BF Leap, and BF Arenas — targets the 50% Phase 3 clinical trial failure rate in pharma by improving data quality, causal gene discovery, and drug target selection. → KEY INSIGHTS - **Phase 3 Failure Economics:** Big pharma fails 50% of Phase 3 clinical trials despite each drug requiring 10–15 years and $1–2 billion in development.

→ WHAT IT COVERS Alberto Pan, CTO of Denodo, presents findings from an 850+ data leader survey revealing that enterprise AI agent failures stem primarily from data architecture problems — not model limitations. Pan explains how a universal semantic layer addresses real-time data access, semantic consistency, and governance enforcement across distributed enterprise data sources.

→ WHAT IT COVERS Philosopher Philip Goff argues that Galileo's 17th-century decision to exclude consciousness from mathematical science created an unsolvable explanatory gap. Goff presents panpsychism — the view that consciousness is a fundamental property of the universe underlying all physical reality — as the most coherent framework for resolving this 400-year-old scientific blind spot.

→ WHAT IT COVERS Prashant Warier, CEO of Qure.ai, explains how his company's medical imaging AI processes 15 million chest X-rays annually across 105 countries, detects lung cancer nodules 60+ days earlier than standard protocols, and operates fully autonomously for tuberculosis screening where no radiologists exist. → KEY INSIGHTS - **Autonomous TB Screening:** Qure.

→ WHAT IT COVERS Sanjeev Vohra, Chief Digital Officer at Genpact, shares findings from a 500-executive study revealing only 12% of companies generate measurable AI value. He outlines the three core barriers blocking enterprise AI adoption and explains what separates leaders from the 47% stuck in assisted, non-production AI use. → KEY INSIGHTS - **AI Maturity Distribution:** Only 12% of companies qualify as AI leaders — generating tangible business value from AI in production workflows at scale.

→ WHAT IT COVERS Ivana Bartoletti, Chief Privacy and AI Governance Officer at Wipro, examines India's shift from IT services exporter to AI architecture power, covering the New Delhi AI Summit, India's 1.4 billion-person scale advantages, infrastructure investment plans, and its "responsible AI" positioning strategy in the global geopolitical landscape. → KEY INSIGHTS - **India's AI Positioning Strategy:** India is not attempting to outcompute the US or China on raw capability.

→ WHAT IT COVERS Slack CMO Ryan Gavin explains how Slack is evolving into an agentic operating system for enterprises, where Slackbot now accesses structured and unstructured company data, orchestrates third-party and Salesforce AgentForce agents via MCP, and enables individual employees to direct multi-agent workflows through natural conversation. → KEY INSIGHTS - **Agentic Orchestration via MCP:** Slackbot functions as an MCP client, meaning any MCP-compatible agent — from OpenAI, Anthropic,...

→ WHAT IT COVERS Zendesk's Head of Product and Engineering Shashi Upadhyay explains how agentic AI now resolves 70–90% of customer service tickets, how the company's resolution learning loop enables self-improving agents, and why adoption barriers—not technology limits—determine how fast this transformation reaches consumers globally. → KEY INSIGHTS - **Automation rate benchmarks:** Zendesk's best-performing customers achieve 70–90% AI resolution rates today.

→ WHAT IT COVERS Oren Michaels, cofounder of Barndoor AI, explains why enterprises deploying AI agents face a governance crisis at scale. A 1,000-person company could generate 100,000 agents, each requiring distinct permissions. Barndoor provides a control layer between agents and enterprise tools, enabling safe autonomous action without rebuilding rules for every new AI model.

→ WHAT IT COVERS Tom Chen, Chief Product Officer at Aircall, covers how AI voice agents are transforming customer communications for small and mid-sized businesses. Aircall operates across 10+ global offices, handles 100 concurrent AI calls per line, and positions voice as a competitive advantage previously too costly for most companies. → KEY INSIGHTS - **AI Deployment Entry Point:** Start AI voice agents with after-hours and overflow call handling before touching core business hours...

→ WHAT IT COVERS Risto Miikkulainen, VP of AI Research at Cognizant AI Lab and UT Austin professor, explains how evolutionary computation — specifically population-based search, neuroevolution, and evolution strategies — solves problems that gradient descent cannot, enabling creative AI solutions across finance, medicine, scientific discovery, and multi-agent decision-making systems.

→ WHAT IT COVERS Chia-Lin Simmons, CEO of LogicMark, explains how the company's Freedom Alert Max device uses on-device AI, digital twins, and predictive analytics to shift elder care from reactive emergency response to proactive fall prevention, targeting the 90% of adults over 50 who want to age at home. → KEY INSIGHTS - **Fall Detection Personalization:** AI algorithms on the Freedom Alert Max device learn individual behavioral patterns to eliminate false positives.

→ WHAT IT COVERS Mitel CTO Luiz Domingos outlines how enterprise communications is being transformed by AI across contact centers, unified communications, and agentic workflows, arguing that voice will replace traditional screen-based interfaces and that hybrid edge architectures are becoming essential for regulated industries managing latency and data sovereignty.

→ WHAT IT COVERS Dr. Terry Sejnowski, Salk Institute neuroscientist and Boltzmann machine co-creator, examines whether ChatGPT genuinely understands language, identifies the 100-plus brain components absent from current AI systems, and outlines nature-inspired directions for developing more autonomous, capable AI agents. → KEY INSIGHTS - **Understanding is multi-dimensional:** Resist applying a single standard when evaluating whether AI "understands.

→ WHAT IT COVERS Eamonn Maguire of Proton explains how data profiling begins before a child is born, how AI models are trained on scraped data without consent, and how Proton's ecosystem — including Lumo AI, encrypted email, and the Born Private initiative — offers a structural alternative to surveillance-based platforms. → KEY INSIGHTS - **Pre-birth data profiling:** The moment a parent emails a gynecologist or fertility clinic using Gmail or Outlook, advertising platforms flag that household...